Uncovering wall-shear stress dynamics from neural-network enhanced fluid flow measurements
E Lagemann, SL Brunton… - Proceedings of the …, 2024 - royalsocietypublishing.org
Accurate prediction and measurement of wall-shear stress dynamics in fluid flows is crucial
in domains as diverse as transportation, public utility infrastructure, energy technology and …
in domains as diverse as transportation, public utility infrastructure, energy technology and …
Challenges of deep unsupervised optical flow estimation for particle-image velocimetry data
C Lagemann, K Lagemann, S Mukherjee… - Experiments in …, 2024 - Springer
In recent years, several algorithms have been proposed that leverage deep learning
techniques within the analysis workflow of particle-image velocimetry (PIV) measurements …
techniques within the analysis workflow of particle-image velocimetry (PIV) measurements …
Classically studied coherent structures only paint a partial picture of wall-bounded turbulence
For the last 140 years, the mechanisms of transport and dissipation of energy in a turbulent
flow have not been completely understood due to the complexity of this phenomenon. The …
flow have not been completely understood due to the complexity of this phenomenon. The …
[HTML][HTML] Machine learning-enhanced PIV for analyzing microfiber-wall turbulence interactions
A machine learning-based approach, RAFT-PIV, is used to measure with single-pixel
resolution the flow field around a microplastic fiber in a turbulent channel flow at a Shear …
resolution the flow field around a microplastic fiber in a turbulent channel flow at a Shear …
A deep learning approach to wall-shear stress quantification: From numerical training to zero-shot experimental application
E Lagemann, J Roeb, SL Brunton… - arXiv preprint arXiv …, 2024 - arxiv.org
The accurate quantification of wall-shear stress dynamics is of substantial importance for
various applications in fundamental and applied research, spanning areas from human …
various applications in fundamental and applied research, spanning areas from human …
Classically studied coherent structures only paint a partial picture of wall-bounded turbulence
For the last 140 years, the mechanisms of transport and dissipation of energy in a turbulent
flow have not been completely understood due to the complexity of this phenomenon. The …
flow have not been completely understood due to the complexity of this phenomenon. The …
[图书][B] Deep Recurrent Neural Networks for Optical Flow Learning in Particle-Image Velocimetry
C Lagemann - 2022 - researchgate.net
Abstract Particle-Image Velocimetry (PIV) is a key approach in experimental fluid dynamics
and of fundamental importance in diverse applications, including automotive, aerospace …
and of fundamental importance in diverse applications, including automotive, aerospace …
The Influence And Strategy Of Ar-Rum Financing As Marketing In Improving Customer Micro Business At Pt. Pegadaian Syariah Unit Kejuruan Muda
R Ruslan - Cognitionis Civitatis et Politicae, 2024 - journal.ypidathu.or.id
Pegadaian Syariah is a system of guaranteeing debt with owned goods. Arrum Financing
Products for Micro Businesses are a solution in getting additional business capital to …
Products for Micro Businesses are a solution in getting additional business capital to …
[PDF][PDF] Exploiting the full potential of deep neural networks for PIV applica-tions
Experimental studies of turbulent wall-bounded flows are often desired to capture the
complete spectrum of turbulent scales across the entire wall-normal direction. Achieving this …
complete spectrum of turbulent scales across the entire wall-normal direction. Achieving this …